Product Images Point Of Care Lm Dep 2

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 7 images provide visual information about the product associated with Point Of Care Lm Dep 2 NDC 70859-041 by Nucare Pharmaceuticals,inc., such as packaging, labeling, and the appearance of the drug itself. This resource could be helpful for medical professionals, pharmacists, and patients seeking to verify medication information and ensure they have the correct product.

pdp - DEPO

pdp - DEPO

This is a prescription medication used for intrasynovial and soft tissue injection only. It comes in a single-dose vial and should not be used for IV. The dosage and usage instructions can be found in the accompanying prescription information. It is distributed by Pharmacia & Upjohn Co, a division of Pfizer Inc. Located in New York.*

PDP - LIDOCAINE 00409 4904

PDP - LIDOCAINE 00409 4904

This is a description of a single-dose injection containing 1% Lidocaine HCI with a volume of 5 ml and a strength of 50 mg/5 ml. It has a National Drug Code (NDC) of D203-2304-3 and manufactured by Hospira Inc. It is useful in treating cardiac issues and can be found in Lake Forest, USA.*

Point of Care Injection Kit LM DEP 2 new

Point of Care Injection Kit LM DEP 2 new

pdp - bupivacaine fig1

pdp - bupivacaine fig1

This is a description of a medication with the name "Bupivacaine HCI," which comes as a sterile, non-pyrogenic injection. Each mL of the medication contains 2.5 mg of Bupivacaine hydrochloride and may also include pH adjustments with NaOH or HCI. The medication is not prescribed for spinal anesthesia and is packaged in a preservative-free single dose vial. Any remaining medication should be discarded upon initial use. This medication is manufactured by Auroramedics Pharma and should be stored between 20°C to 25°C.*

Chemical Structure - bupivacaine str

Chemical Structure - bupivacaine str

pdp - depo medrol

pdp - depo medrol

pdp - lidocaine 4904 34

pdp - lidocaine 4904 34

* The product label images have been analyzed using a combination of traditional computing and machine learning techniques. It should be noted that the descriptions provided may not be entirely accurate as they are experimental in nature. Use the information in this page at your own discretion and risk.